The warpgroup algorithm takes detected peaks appearing across multiple LC/MS samples and determines: 1. The most appropriate segregation of those peaks using a local DTW alignment and graph decomposition; 2. Per-group consensus integration bounds such that each group represents a topographically similar region of the peak chromatogram; 3. The corresponding peak integration bounds for samples in which no peak was detected. Additionally the output provides effective parameters for filtering "good peaks" from "noise peaks".
Package details |
|
---|---|
Author | Nathaniel Guy Mahieu <nathaniel.mahieu@wustl.edu> |
Maintainer | Nathaniel Guy Mahieu <nathaniel.mahieu@wustl.edu> |
License | GPL-3 |
Version | 0.1.0.9002 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.